The authors of this study focus on solutions that address joint temporal and spatial visualization but also consider what the future may bring in terms of visualization and how this may become of value for the coming era of real-time digital pathogen surveillance, where actionable results and adequate intervention strategies need to be obtained within days.
Phylogeography and invasion history of Aedes aegypti, the Dengue and Zika mosquito vector in Cape Verde islands (West Africa)by Salgueiro et al.
The authors of this study performed a phylogeographic and population genetics study of A. aegypti in Cape Verde in order to infer the geographic origin and evolutionary history of this mosquito.
A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypesby Fonseca et al.
In this study, the authors developed an efficient method to classify virus sequences with respect to their species and sub-species (i.e. serotype and/or genotype).
By using the bacterium-free ‘Infectious Subgenomic Amplicons’ (ISA) method, this study provides the scientific community with two simple and performing reverse genetics systems for ZIKV.
Based on comparative ZIKV complete genome phylogenetic analyses and temporal estimates, the authors identify amino acid substitutions that may be associated with increased viral epidemicity, CZVS, and GBS. Reverse genetics, vector competence, and seroepidemiological studies will test the hypothesis that these amino acid substitutions are determinants of epidemic and neurotropic ZIKV emergence.